ML Systems Engineer - Fully Remote | Upto $120/hr

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: MLOps Engineer, LLM Systems (Serving, GPU Kernels, Profiling) Type: Contract Compensation: $90–$120/hour Location: Remote Commitment: 40 hours/week Role Responsibilities • Design challenging tasks across GPU kernels , performance profiling , debugging , and inference serving . Write accurate, well-structured solutions. • Guide research and engineering teams to close knowledge gaps and improve AI model performance on ML systems and training infrastructure . • Evaluate MLOps and ML systems tasks. Provide clear, written technical feedback that stands up to reviewer scrutiny. • Develop guidelines and detailed rubrics covering kernel-level optimization, profiler output interpretation, and serving throughput and latency trade-offs. • Collaborate with other subject matter experts to ensure training data consistency and accuracy. Qualifications Must-Have • 2+ years of hands-on professional experience in ML systems , ML infrastructure , or GPU performance engineering . • Practical experience in GPU kernels (e.g., CUDA , Triton ) or performance profiling (e.g., Kineto , torch.profiler ). • Working production experience with JAX and/or PyTorch . • Familiarity with modern accelerators such as A100 , H100 , or TPU . • Strong written communication skills. Compensation & Legal • W-2 employment with Cincinnatus LLC . • Equal Employment Opportunity employer. Application Process (Takes 20–30 mins to complete) • Upload resume • AI interview based on your resume • Submit form Resources & Support • For details about the interview process and platform information, please check: • For any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. Originally posted on Himalayas